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Birnie, David H.; Wang, Jia; Alings, Marco; Philippon, François; Parkash, Ratika; Manlucu, Jaimie; Angaran, Paul; Rinne, Claus; Coutu, Benoit; Low, R. Aaron; Essebag, Vidal; Morillo, Carlos; Redfearn, Damian; Toal, Satish; Becker, Giuliano; Degrâce, Michel; Thibault, Bernard; Crystal, Eugene; Tung, Stanley; LeMaitre, John; Sultan, Omar; Bennett, Matthew; Bashir, Jamil; Ayala-Paredes, Felix; Gervais, Philippe; Rioux, Leon; Hemels, Martin E.W.; Bouwels, Leon H.R.; Exner, Derek V.; Dorian, Paul; Connolly, Stuart J.; Longtin, Yves; Krahn, Andrew D.
Journal of the American College of Cardiology, 12/2019, Letnik: 74, Številka: 23Journal Article
Cardiac implantable electronic device infection is a major complication that usually requires device removal. PADIT (Prevention of Arrhythmia Device Infection Trial) was a large cluster crossover trial of conventional versus incremental antibiotics. This study sought to investigate independent predictors of device infection in PADIT and develop a novel infection risk score. In brief, over 4 6-month periods, 28 centers used either conventional or incremental prophylactic antibiotic treatment in all patients. The primary outcome was hospitalization for device infection within 1 year (blinded endpoint adjudication). Multivariable logistic prediction modeling was used to identify the independent predictors and develop a risk score for device infection. The prediction models were internally validated with bootstrap methods. Device procedures were performed in 19,603 patients, and hospitalization for infection occurred in 177 (0.90%) within 1 year of follow-up. The final prediction model identified 5 independent predictors of device infection (prior procedures P, age A, depressed renal function D, immunocompromised I, and procedure type T) with an optimism-corrected C-statistic of 0.704 (95% confidence interval: 0.660 to 0.744). A PADIT risk score ranging from 0 to 15 points classified patients into low (0 to 4), intermediate (5 to 6) and high (≥7) risk groups with rates of hospitalization for infection of 0.51%, 1.42%, and 3.41%, respectively. This study identified 5 independent predictors of device infection and developed a novel infection risk score in the largest cardiac implantable electronic device trial to date, warranting validation in an independent cohort. The 5 independent predictors in the PADIT score are readily adopted into clinical practice. (Prevention of Arrhythmia Device Infection Trial PADIT Pilot; NCT01002911) Display omitted
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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